Precision Health at the University of Michigan has recently improved and expanded its offerings for campus researchers in genetics, pharmacogenomics, operations, AI, and a host of other precision health–related fields.

With this enhanced Analytics Platform, Precision Health has defined a clear pathway for researchers across campus to access de-identified clinical data: a milestone in its goal of accelerating research and collaboration in a secure environment. The Analytics Platform makes it easier for faculty across departments to collaborate on data-driven analyses for patient risk stratification, disease prevention, treatment, and more. A new Sharepoint documentation site guides researchers through the features, resources, and tools available to them.

Increased data privacy and security measures are required to support this increased access. All users—new and current—of Precision Health DataDirect are required to complete robust human subjects research training and appropriate data use agreements. To get started, please refer to the Analytics Platform User Guide [pdf] (umich password required) on the documentation site.

Following is a table listing new data and compute resources available through the Precision Health Analytics Platform, and how to get more information about them.

For information not covered above, please contact Precision Health’s Research Scientific Facilitators at PHDataHelp@umich.edu.

What’s in the pipeline

Precision Health’s Analytics Platform continues to evolve. These resources are coming soon:

• Additional starting populations centered on heart failure, surgery, and other areas
• Socioeconomic data
• Patient-Reported Outcomes data: this will be the first-ever research survey data available in DataDirect. The data leverage NIH PROMIS (Patient-Reported Outcomes Measurement Information System) measures and include domains of pain severity, physical function, depression, and anxiety, as well as life stress scales
• De-identified SQL server instance of the Precision Health DataDirect database that supports large-scale queries

Precision Health encourages collaboration between investigators from different schools and colleges to maximize available resources. Visit the Precision Health Member Database to search for potential collaborators or to become a member.

“We hope these resources will accelerate interdisciplinary collaborations across campus and lead to new findings that ultimately improve patient care,” says Precision Health Co-Director Jenna Wiens. “The Data Analytics &IT workgroup has spent many months working with units across campus to build a system that improves access to data, while promoting the responsible use of data. It’s exciting to see it realized!”